公开(公告)号：US07925502B2

公开(公告)日：2011-04-12

申请号：US11788323

申请日：2007-04-19

申请人： James G. Droppo ,  Alejandro Acero ,  Luis Buera

发明人： James G. Droppo ,  Alejandro Acero ,  Luis Buera

IPC分类号： G10L11/06

CPC分类号： G10L21/02

摘要： Pitch is tracked for individual samples, which are taken much more frequently than an analysis frame. Speech is identified based on the tracked pitch and the speech components of the signal are removed with a time-varying filter, leaving only an estimate of a time-varying speech signal. This estimate is then used to generate a time-varying noise model which, in turn, can be used to enhance speech related systems.

摘要翻译： 跟踪单个样本的间距，比分析框架更频繁。 基于跟踪音调识别语音，并且用时变滤波器去除信号的语音分量，仅留下时变语音信号的估计。 然后，该估计用于产生随时间变化的噪声模型，该模型又可用于增强语音相关系统。

公开(公告)号：US20080215321A1

公开(公告)日：2008-09-04

申请号：US11788323

申请日：2007-04-19

申请人： James G. Droppo ,  Alejandro Acero ,  Luis Buera

发明人： James G. Droppo ,  Alejandro Acero ,  Luis Buera

IPC分类号： G10L15/00

CPC分类号： G10L21/02

摘要： Pitch is tracked for individual samples, which are taken much more frequently than an analysis frame. Speech is identified based on the tracked pitch and the speech components of the signal are removed with a time-varying filter, leaving only an estimate of a time-varying speech signal. This estimate is then used to generate a time-varying noise model which, in turn, can be used to enhance speech related systems.

摘要翻译： 跟踪单个样本的间距，比分析框架更频繁。 基于跟踪音调识别语音，并且用时变滤波器去除信号的语音分量，仅留下时变语音信号的估计。 然后，该估计用于产生随时间变化的噪声模型，该模型又可用于增强语音相关系统。

公开(公告)号：US08180636B2

公开(公告)日：2012-05-15

申请号：US13042000

申请日：2011-03-07

申请人： James G. Droppo ,  Alejandro Acero ,  Luis Buera

发明人： James G. Droppo ,  Alejandro Acero ,  Luis Buera

IPC分类号： G10L15/20

CPC分类号： G10L21/02

摘要： Pitch is tracked for individual samples, which are taken much more frequently than an analysis frame. Speech is identified based on the tracked pitch and the speech components of the signal are removed with a time-varying filter, leaving only an estimate of a time-varying speech signal. This estimate is then used to generate a time-varying noise model which, in turn, can be used to enhance speech related systems.

摘要翻译： 跟踪单个样本的间距，比分析框架更频繁。 基于跟踪音调识别语音，并且用时变滤波器去除信号的语音分量，仅留下时变语音信号的估计。 然后，该估计用于产生随时间变化的噪声模型，该模型又可用于增强语音相关系统。

公开(公告)号：US20110161078A1

公开(公告)日：2011-06-30

申请号：US13042000

申请日：2011-03-07

申请人： James G. Droppo ,  Alejandro Acero ,  Luis Buera

发明人： James G. Droppo ,  Alejandro Acero ,  Luis Buera

IPC分类号： G10L15/20

CPC分类号： G10L21/02

摘要： Pitch is tracked for individual samples, which are taken much more frequently than an analysis frame. Speech is identified based on the tracked pitch and the speech components of the signal are removed with a time-varying filter, leaving only an estimate of a time-varying speech signal. This estimate is then used to generate a time-varying noise model which, in turn, can be used to enhance speech related systems.

摘要翻译： 跟踪单个样本的间距，比分析框架更频繁。 基于跟踪音调识别语音，并且用时变滤波器去除信号的语音分量，仅留下时变语音信号的估计。 然后，该估计用于产生随时间变化的噪声模型，该模型又可用于增强语音相关系统。